Voice Signal Enhancement For Head-Worn Audio Devices

ABSTRACT

A head-worn audio device is provided with a circuit for voice signal enhancement. The circuit comprises at least a plurality of microphones, arranged at predefined positions, where each microphone provides a microphone signal. The circuit further comprises a directivity pre-processor and a blind source separation processor. The directivity pre-processor is connected with the plurality of microphones to receive the microphone signals and being configured to provide at least a voice signal and a noise signal. Directivity pre-processing increases the mutual independence of the signals provided to the blind source separation processor and thus improves processing by blind source separation. The blind source separation processor receives at least the voice signal and the noise signal, and is configured to conduct blind source separation on at least the voice signal and the noise signal to provide at least an enhanced voice signal with reduced noise components.

FIELD

The present disclosure relates generally to the field of head worn audiodevices. More particularly, the present disclosure relates to providingan improved voice signal of a user's voice, captured with a plurality ofmicrophones.

BACKGROUND

This background section is provided for the purpose of generallydescribing the context of the disclosure. Work of the presently namedinventor(s), to the extent the work is described in this backgroundsection, as well as aspects of the description that may not otherwisequalify as prior art at the time of filing, are neither expressly norimpliedly admitted as prior art against the present disclosure.

Mobile communication devices having audio recording capabilities areubiquitous today for various applications. Most prominently, smartphones, tables, and laptops allow placing audio and video call andenable communications with unprecedented quality. Similarly ubiquitousis the use of head-worn audio devices, such as in particular headsets.Headsets allow ‘hands-free’ operation and are thus being employed incommercial applications, office environments, and while driving.

An issue with the mobility of modern communication devices relates tothe fact that the devices can be brought almost anywhere, which may leadto use in loud environments. In these environments, a common problem isthat the microphone picks up on the environmental noise in a substantialway, making the user's voice hard to understand by the receiver of thecall. The problem is particularly prominent with background noisecomprising speech of other persons as voice band filtering in suchscenarios cannot remove such noise to a satisfactory extent.

Thus, an object exists to improve the quality of a voice signal, inparticular in noisy environments.

SUMMARY

In general and in one aspect, a head-worn audio device having a circuitfor voice signal enhancement is provided. The circuit comprising atleast a plurality of microphones, arranged at predefined positions,where each microphone provides a microphone signal; a directivitypre-processor, connected with the plurality of microphones to receivethe microphone signals and configured to provide at least a voice signaland a noise signal; a blind-source-separation (BSS) processor, connectedwith the directivity pre-processor to receive at least the voice signaland the noise signal, and being configured to conduct blind sourceseparation on at least the voice signal and the noise signal to provideat least an enhanced voice signal with reduced noise components.

One basic idea of the invention relates to the use of blind sourceseparation to provide the enhanced voice signal. As the inventors of theinstant application have ascertained, blind source separation works bestif the signals, provided to a blind source separation algorithm aremutually linearly independent. While in practice, signals of microphonesplaced in a vicinity of each other are typically not linearlyindependent, the present invention proposes to use directivitypre-processing to increase the independence of the signals provided tothe blind source separation algorithm and thus to improve processing byblind source separation.

In another aspect, a circuit for voice signal enhancement is provided,the circuit being connectable to a plurality of microphones, where eachmicrophone provides a microphone signal. The circuit comprises at leasta directivity pre-processor, connected with the plurality of microphonesto receive the microphone signals and configured to provide at least avoice signal and a noise signal; and a BSS processor, connected with thedirectivity pre-processor to receive at least the voice signal and thenoise signal, and being configured to conduct blind source separation onat least the voice signal and the noise signal to provide at least anenhanced voice signal with reduced noise components.

In another aspect, a method of voice signal enhancement is provided,based on a plurality of microphone signals of a plurality ofmicrophones. The method comprises directivity pre-processing of theplurality of microphone signals to obtain at least a voice signal and anoise signal; and conducting blind source separation on at least thevoice signal and the noise signal to obtain at least an enhanced voicesignal with reduced noise components.

The details of one or more embodiments are set forth in the accompanyingdrawings and the description below. Other features will be apparent fromthe description, drawings, and from the claims.

DESCRIPTION OF DRAWINGS

FIG. 1 shows a front view of an embodiment of a head-worn audio device;

FIG. 2 shows a schematic block diagram of the head-worn audio device ofFIG. 1;

FIG. 3 shows a schematic block diagram of an embodiment of a digitalsignal processor;

FIG. 4 shows a further embodiment of a head-worn audio device;

FIG. 5 shows a schematic exemplary block diagram of the processing by adirectivity pre-processor as used in the embodiment of FIG. 1;

FIG. 6 illustrates exemplary microphone placement in the embodiment ofFIG. 1; and

FIG. 7 illustrates exemplary beam forms of an arrangement of twomicrophones.

DETAILED DESCRIPTION

Specific embodiments of the invention are here described in detail,below. In the following description of embodiments of the invention, thespecific details are described in order to provide a thoroughunderstanding of the invention. However, it will be apparent to one ofordinary skill in the art that the invention may be practiced withoutthese specific details. In other instances, well-known features have notbeen described in detail to avoid unnecessarily complicating the instantdescription.

In the following explanation of the present invention according to theembodiments described, the terms “connected to” or “connected with” areused to indicate a data and/or audio (signal) connection between atleast two components, devices, units, processors, or modules. Such aconnection may be direct between the respective components, devices,units, processors, or modules; or indirect, i.e., over intermediatecomponents, devices, units, processors, or modules. The connection maybe permanent or temporary; wireless or conductor based.

For example, a data and/or audio connection may be provided over directconnection, a bus, or over a network connection, such as a WAN (widearea network), LAN (local area network), PAN (personal area network),BAN (body area network) comprising, e.g., the Internet, Ethernetnetworks, cellular networks, such as LTE, Bluetooth (classic, smart, orlow energy) networks, DECT networks, ZigBee networks, and/or Wi-Finetworks using a corresponding suitable communications protocol. In someembodiments, a USB connection, a Bluetooth network connection and/or aDECT connection is used to transmit audio and/or data.

In the following description, ordinal numbers (e.g., first, second,third, etc.) may be used as an adjective for an element (i.e., any nounin the application). The use of ordinal numbers is not to imply orcreate any particular ordering of the elements nor to limit any elementto being only a single element unless expressly disclosed, such as bythe use of the terms “before”, “after”, “single”, and other suchterminology. Rather, the use of ordinal numbers is to distinguishbetween like-named elements. For example, a first element is distinctfrom a second element, and the first element may encompass more than oneelement and succeed (or precede) the second element in an ordering ofelements.

As communication devices gain mobility, a need exists to allow propercommunication with such a device irrespective of the environment of theuser. Thus, it is desirable to enable clear communications also in noisyenvironments, such as near a busy road, while travelling, and in sharedoffice environments, restaurants, etc. A particular issue is given whenthe noise environments comprises speech or talk of other persons and inparticular “single distractor speech” from a specific unknown direction,which may decrease the ability of typical noise reduction systems, forexample employing frequency band filtering. The present invention aimsat enabling communications in the aforementioned noisy environments.

In one aspect, a head-worn audio device having a circuit for voicesignal enhancement, is provided. According to this aspect, the circuitcomprises at least a plurality of microphones, a directivitypre-processor, and a blind-source-separation processor, also referred toas “BSS processor” in the following.

The plurality of microphones of the present exemplary aspect arearranged as part of the audio device at predefined positions. Thepredefined positioning as part of the audio device may in an embodimentresult in a substantially predefined positioning relative to a user'smouth, when the user is wearing the headset as intended or designed.

In some embodiments, the head-worn audio device is configured so that asubstantially predefined orientation and/or positioning relative to theuser's head and/or the user's mouth results when the user is wearing theaudio device as intended or designed. For example, the head-worn audiodevice may be provided with a ‘default’ orientation and/or positioning,like the intended orientation of a typical headset or the intendedpositioning of typical glasses, so that it is at least likely that theuser wears the head-worn audio device with the defaultorientation/positioning, which may be relied upon.

It is noted that a ‘predefined’ or ‘fixed’ positioning of some of themicrophones encompasses setups, where the exact positioning of therespective microphone relative to a user's mouth, may vary slightly. Forexample, when a user dons the audio device, doffs the audio device, anddons the audio device again, it will be readily understood that a slightpositioning change relative to the user's mouth easily may occur betweenthe two ‘wearing sessions’. Also, the relative positioning of therespective microphone to the mouth may differ from one user to another.This nevertheless means that at a given time, e.g., in one given‘wearing session’ of the same user, the microphones have a fixedrelative position.

In some embodiments, at least one microphone is arranged on a microphoneboom that can be adjusted in a limited way. Typically, such arrangementis considered to be predefined, in particular when the boom onlyprovides a limited adjustment, since the microphone stays relativelyclose to the user's mouth in any event.

The microphones may be of any suitable type, such as dynamic, condenser,electret, ribbon, carbon, piezoelectric, fiber optic, laser, or MEMStype. At least one of the microphones is arranged so that it capturesthe voice of the user, wearing the audio device. One or more of themicrophones may be omnidirectional or directional. Each microphoneprovides a microphone signal to the directivity pre-processor, eitherdirectly or indirectly via intermediate components. In some embodiments,at least some of the microphone signals are provided to an intermediatecircuit, such as a signal conditioning circuit, connected between therespective microphone and the directivity pre-processor for one or moreof, e.g., amplification, noise suppression, and/or analog-to-digitalconversion.

The directivity pre-processor is configured to receive the microphonesignals and to provide at least a voice signal and a noise signal to theBSS processor from the received microphone signals. In the presentcontext, the terms “voice signal” and “noise signal” are understood asan analog or digital representation of audio in time or frequencydomain, wherein the voice signal comprises more of the user's voice,compared to the noise signal, i.e., the energy of the user's voice inthe voice signal is higher, compared to the noise signal. The voicesignal may also be referred to as a “mostly voice signal”, while thenoise signal may also be referred to as a “mostly noise signal”. Theterm “energy” is understood herein with its usual meaning, namelyphysical energy. In a wave, the energy is generally considered to beproportional to its amplitude squared.

The blind source separation (BSS) processor is connected with thedirectivity pre-processor to receive at least the voice signal and thenoise signal. The BSS processor is configured to execute a blind sourceseparation algorithm on at least the voice signal and the noise signaland to provide at least an enhanced voice signal with reduced noisecomponents. In this context, the term “blind source separation”, alsoreferred to as “blind signal separation”, is understood with its usualmeaning, namely, the separation of a set of source signals (signal ofinterest, i.e., voice signal, and noise signal) from a set of mixedsignals, without the aid of information or with very little informationabout the source signals or the mixing process. Details of Blind SourceSeparation can be found in Blind Source Separation—Advances in Theory,Algorithms, and Applications, Ganesh R. Naik, Wenwu Wang, SpringerVerlag, Berlin, Heidelberg, 2014, incorporated by reference herein.

The enhanced voice signal, provided by the blind source separationprocessor may then be provided to another component of the audio devicefor further processing. In some embodiments, the enhanced voice signalis provided to a communication module for transmission to a remoterecipient. In other embodiments, the enhanced voice signal is providedto a recording unit for at least temporary storage. The head-worn audiodevice may be considered a speech recording device in this case.

The directivity pre-processor and the BSS processor may be of anysuitable type. For example and in some embodiments, the directivitypre-processor and/or the BSS processor may be provided in correspondingdedicated circuity, which may be integrated or non-integrated.Alternatively and in some embodiments, the directivity pre-processorand/or the BSS processor may be provided in software, stored in a memoryof the audio device, and their respective functionalities is providedwhen the software is executed on a common or one or more dedicatedprocessing devices, such as a CPU, microcontroller, or DSP.

The audio device in further embodiments certainly may compriseadditional components. For example, the audio device in one exemplaryembodiment may comprise additional control circuity, additionalcircuitry to process audio, a wireless communications interface, acentral processing unit, one or more housings, and/or a battery.

The term “signal” in the present context refers to an analog or digitalrepresentation of audio as electric signals. For example, the signalsdescribed herein may be of pulse code modulated (PCM) type, or any othertype of bit stream signal. Each signal may comprise one channel (monosignal), two channels (stereo signal), or more than two channels(multichannel signal). The signal(s) may be compressed or notcompressed.

In some embodiments, the directivity pre-processor is configured togenerate a plurality of voice candidate signals and a plurality of noisecandidate signals from the microphone signals.

According to the present embodiments, so-called “candidate signals” aregenerated from the microphone signals. As will be discussed in thefollowing in more detail and in some embodiments, the voice signal andthe noise signal, provided by the directivity pre-processor to the BSSprocessor, are selected from the candidate signals.

In some embodiments, each of the candidate signals corresponds to apredefined microphone directivity, which microphone directivity may bepredefined by the respectively predefined or fixed microphone positions.In some embodiments, the candidate signals have a unique directivity,i.e., not two of the noise candidate signals and not two of the voicecandidate signals have the same directivity.

The term “directivity” or “spatial directivity” in some embodiments maybe based on microphone directionality (omnidirectional or directional)considering the respective microphone's position. Alternatively oradditionally, and in some embodiments, a desired microphone directivitymay also be created by multiple microphone processing, i.e., by usingmultiple microphone signals. In both cases, the microphone directivitydefines a three-dimensional space or “sub-space” in the vicinity of therespective microphone(s), where the microphone(s) is/are highlysensitive.

In some embodiments, the directivity pre-processor comprises amicrophone definition database and a spatial directivity module togenerate the plurality of the voice candidate signals and the pluralityof the noise candidate signals.

In the present embodiments, the microphone definition database comprisesat least information referring to the positioning of each of themicrophones, relative to the audio device, and thus, e.g., relative tothe user's head or mouth at least when wearing the device as intended.The microphone definition database may comprise furthermicrophone-related data, such as microphone type, directionalitypattern, etc. The microphone definition database may be of any suitabletype and, e.g., comprise suitable memory.

The spatial directivity module may be of any suitable type to generatethe candidate signals. The spatial directivity module may be provided incorresponding dedicated circuity, which may be integrated ornon-integrated. Alternatively and in some embodiments, the spatialdirectivity module may be provided in software, stored in a memory ofthe audio device, and their respective functionalities is provided whenthe software is executed on a common or one or more dedicated processingdevices, such as a CPU, microcontroller, or DSP.

For example, the spatial directivity module may be configured togenerate the voice candidate signals based on the respectivemicrophone's positioning and directivity. In this example, themicrophone definition database may provide that one or more of themicrophones are close to the user's mouth during use or a pointedtowards the user's mouth. The spatial directivity module may thenprovide the corresponding microphone signals as voice candidate signals.

In some embodiments, the spatial directivity module may be configured asa beamformer to provide candidate signals with a correspondingly defineddirectivity.

In some embodiments, the spatial directivity module uses two or more ofthe microphone signals to generate a plurality of candidate signalstherefrom. As will be apparent to one skilled in the art, having twomicrophones at known positions, it is for example possible to generatefour candidate signals, each having a unique directivity or “beam form”.The number of candidate signals is not limited. The spatial directivitymodule in some embodiments may be configured with one of the followingalgorithms to generate the candidate signals, which algorithms are knownto a skilled person:

-   -   Delay-sum;    -   Filter-sum;    -   Time-frequency amplitude and delay source grouping/clustering.

In some embodiments, the directivity pre-processor is further configuredto equalize and/or normalize at least one of the voice candidate signalsand the noise candidate signals. In some embodiments at least one of theplurality of voice candidate signals and the plurality of noisecandidate is equalized and/or normalized.

An equalization and normalization, respectively, provides that eachcandidate signal of the respective plurality or group of candidatesignals has at least an approximately similar level and frequencyresponse. It is noted that while it is possible in some embodiments toconduct the equalization/normalization over all of the candidatesignals, in some other embodiments, an equalization/normalization isconducted per group, i.e., the voice candidate signals on the one hand,and the noise candidate signals on the other hand. This group-wiseequalization and/or normalization may be sufficient to the laterselection of one of the voice candidate signals as the voice signal andthe selection of one of the noise candidate signals as noise signals.

Suitable equalization and normalization methods include a typical EQ, adynamic EQ, and an automatic gain control.

With respect to the noise candidate signals and/or the voice candidatesignals and in some embodiments, the equalization and/or normalizationis conducted with respect to diffused speech-like noise, e.g., usingHoth Noise and/or ITU-T G.18 composite source signal (CSS) noise.

In some embodiments, the equalization and/or normalization is based on aset of parameters, derived during manufacturing or design of thehead-worn audio device. In other words, based on a set of calibrationparameters. In some embodiments, the directivity pre-processor comprisesone or more suitable equalization and/or normalization circuits.

In some embodiments, the directivity pre-processor further comprises avoice candidate selection circuit, wherein the voice candidate selectioncircuit selects one of the voice candidate signals as the voice signaland provides the voice signal to the BSS processor.

The selection circuit may be configured with any suitable selectioncriterium to select the voice signal from the voice candidate signals.In one example, a speech detector is provided to analyze each voicecandidate signal and to provide a speech detection confidence score. Thevoice candidate signal that has received the highest or maximumconfidence is selected as voice signal.

In some embodiments, the voice candidate selection circuit is configuredto determine an energy of each of the voice candidate signals andselects the voice candidate signal having the lowest energy as the voicesignal. In the context of this explanation and as discussed in thepreceding, the term “energy” is understood with its usual meaning,namely physical energy. In a wave, the energy of the wave is generallyconsidered to be proportional to its amplitude squared. Since eachcandidate signal corresponds to acoustic waves are captured by one ormore of the microphones, the energy of each of the voice candidatesignals corresponds to the sound pressure of these underlying acousticwaves. Thus, “energy” also is referred to as “acoustic energy” or “waveenergy” herein.

The present embodiment is based on the recognition of the inventors ofthe instant invention that a signal having a relatively clear voicecomponent generally will have a low energy.

In some embodiments, the voice candidate selection circuit is configuredto determine the energy of each of the voice candidate signals in aplurality of sub-bands. For example, a typical 12 kHz voice band may bedivided into 32 equal sub-bands and the voice candidate selectioncircuit may determine the energy for each of the sub-band. The overallenergy may in that case be determined by forming an average, median,etc. In some embodiments, a predefined weighing is applied that isspecific to voice characteristics.

In some embodiments, the directivity pre-processor further comprises avoice activity detector wherein the voice candidate selection circuitselects one of the voice candidate signals as the voice signal if thevoice activity detector determines the presence of the user's voice.

The voice activity detector (VAD) is operable to perform speechprocessing on, and to detect human speech within, the noise suppressedinput signals. The voice activity detector comprises correspondingfilters to filter non-stationary noise from the microphone signals. Thisenhances the speech processing. The voice activity detector estimatesthe presence of human speech in the audio received at the microphones.

With respect to the processing of the noise candidate signals and insome embodiments, the directivity pre-processor further comprises avoice filter, configured to filter voice components from each of thenoise candidate signals. The voice filter may in some embodimentscomprise a parametric filter, set for voice filtering.

In some embodiments, the voice filter is configured to receive at leastone of the voice candidate signals and to filter the voice componentsusing the received at least one voice candidate signal. The presentembodiments are based on the recognition that an effective removal ofvoice components from the noise candidate signals is possible byapplying a subtractive filter using the at least one voice candidatesignal as input to the filter. In some embodiments, the voice signal isused to filter the voice components from the noise candidates.

In some embodiments, the directivity pre-processor further comprises anoise candidate selection circuit, wherein noise candidate selectioncircuit selects one of the noise candidate signals as the noise signaland provides the noise signal to the BSS processor.

The noise candidate selection circuit may be configured with anysuitable selection criterium to select the noise signal from the noisecandidate signals. In one example, the noise candidate selection circuitdetermines a voice energy in each of the noise candidate signals andselects the noise candidate signal having the least voice energy asnoise signal.

In some embodiments, the noise candidate selection circuit is configuredto determine an energy of each of the noise candidate signals andselects the noise candidate signal having the highest energy as thenoise signal. The present embodiment is based on the recognition of theinventors of the instant invention that a signal having a high noisecomponent generally will have a high energy.

In some embodiments, the noise candidate selection circuit is configuredto determine the energy of each of the noise candidate signals in aplurality of sub-bands. For example, a typical 12 kHz voice band may bedivided into 32 equal sub-bands and the noise candidate selectioncircuit may determine the energy for each of the sub-band. The overallenergy may in that case be determined by forming an average, median,etc. In some embodiments, a predefined weighing is applied that isspecific to noise characteristics.

In some embodiments, the BSS processor is configured to additionallyprovide an enhanced noise signal with reduced voice components. Theenhanced noise signal may be beneficial as it allows further analysis ofthe noise environment of the user, e.g., for acoustic safety purposes.In some embodiments, the enhances noise signal is provided to a remoteanalysis server to determine the noise exposure of the user.

In some embodiments, the head-worn audio device is a hat, a helmet,(smart) glasses, or a cap.

In some embodiments, the head-worn audio device is a headset.

In the context of this application, the term “headset” refers to alltypes of headsets, headphones, and other head worn audio playbackdevices, such as for example circum-aural and supra-aural headphones,ear buds, in ear headphones, and other types of earphones. The headsetmay be of mono, stereo, or multichannel setup. The headset in someembodiments may comprise an audio processor. The audio processor may beof any suitable type to provide output audio from an input audio signal.For example, the audio processor may be a digital sound processor (DSP).

In some embodiments, the audio device comprises at least threemicrophones. In some embodiments, the audio device comprises at least 5microphones. Depending on the application, an increased number ofmicrophones may improve the discussed functionality of the audio devicefurther.

In some embodiments, the audio device comprises an audio output totransmit at least the enhanced voice signal to a further device. Forexample, the audio output may be provided as a wireless communicationinterface, so that the enhanced voice signal may be provided to thefurther device. The latter for example may be a phone, smart phone,smart watch, laptop, tablet, computer. It is noted that in someembodiments, the audio output may allow for a wire-based connection.

Reference will now be made to the drawings in which the various elementsof embodiments will be given numerical designations and in which furtherembodiments will be discussed.

Specific references to components, process steps, and other elements arenot intended to be limiting. Further, it is understood that like partsbear the same or similar reference numerals when referring to alternatefigures. It is further noted that the figures are schematic and providedfor guidance to the skilled reader and are not necessarily drawn toscale. Rather, the various drawing scales, aspect ratios, and numbers ofcomponents shown in the figures may be purposely distorted to makecertain features or relationships easier to understand.

FIG. 1 shows a front view of an embodiment of a head-worn audio device,namely in this embodiment a headset 1. The headset 1 comprises twoearphone housings 2 a, 2 b, which are formed with respective earphonespeakers 6 a, 6 b (not shown in FIG. 1) to provide an audio output to auser during operation, i.e., when the user is wearing the headset 1. Thetwo earphones 2 a, 2 b are connected with each other over via anadjustable head band 3. The headset 1 further comprises a microphoneboom 4 with a microphone 5 a attached at its end. Further microphones 5b, 5 c, 5 d, and 5 e are provided in the earphone housings 2 a, 2 b. Themicrophones 5 a-5 e allow for voice signal enhancement and noisereduction, as will be discussed in the following in more detail. It isnoted that the number of microphones may vary depending on theapplication.

The headset 1 allows for a wireless connection via Bluetooth to afurther device, e.g., a mobile phone, smart phone, tablet, computer,etc., in a usual way, for example for communication applications.

FIG. 2 shows a schematic block diagram of the headset 1. Besides thealready mentioned speakers 6 a, 6 b and the microphones 5 a-5 e, theheadset 1 comprises a Bluetooth interface 7 for connection with theaforementioned further device. A microcontroller 8 is provided tocontrol the connection with the further device. Incoming audio from thefurther device is provided to output driver circuitry 9, which comprisesa D/A converter, and an amplifier. Audio, captured by the microphones 5a-5 e is processed by a digital signal processor (DSP) 10, as will bediscussed in further detail in the following. An enhanced voice signaland an enhanced noise signal is provided by the DSP 10 to themicrocontroller 8 for transmission to the further device.

In addition to the above components, a user interface 11 allows the userto adjust settings of the headset 1, such as ON/OFF state, volume, etc.Battery 12 supplies operating power to all of the aforementionedcomponents. It is noted that no connections from and to the battery 12are shown so as to not obscure the FIG. All of the aforementionedcomponents are provided in the earphone housings 2 a, 2 b.

Headset 1 according to the present embodiment is particularly adaptedfor operation in noisy environments and to allow the user's voice to bewell captured even in an environment having so-called “single distractorspeech”. Accordingly, DSP 10 is configured to provide an enhanced voicesignal with reduced noise components to the microcontroller 8 fortransmission to the further device via the Bluetooth interface 7. DSP 10also provides an enhanced noise signal to the microcontroller 8. Theenhanced noise signal allows an analysis of the noise environment of theuser for acoustic safety purposes.

The operation of DSP 10 is based on blind source separation (BSS).Consequently, the DSP 10 comprises a BSS processor 15. Blind sourceseparation is a known mathematical premise for signal processing, whichprovides that if N sources of audio streams are mixed and captured by Nmicrophones (N mixtures), then it is possible to separate the resultingmixtures into N original audio streams. A discussion of blind sourceseparation can be found in Blind Source Separation—Advances in Theory,Algorithms, and Applications, Ganesh R. Naik, Wenwu Wang, SpringerVerlag, Berlin, Heidelberg, 2014, incorporated by reference herein.

However, the results of BSS generally have been insufficient if the Nmixtures are not mutually linearly independent. In a headset or otherhead-worn device application, it is known that the desired voice/speechemanates from a specific direction relative to the microphones. However,the direction of noise is generally not known. Noise is most annoyingwhen it is a so-called “single distractor speech”, in particular when itoriginates from a specific unknown direction.

In the present embodiment, the DSP 10 thus comprises a directivitypre-processor 13 with a voice activity detector (VAD) 14. Voice activitydetection is a well-known technique. The directivity pre-processor 13pre-processes the microphone signals of microphones 5 a-5 e and providesa voice signal and a noise signal to the BSS processor 15. Thispre-processing serves to improve the functioning of the BSS processor715 and to alleviate the fact that the direction of the noise is notknown. The voice activity detector 14 is operable to perform speechprocessing on, and to detect human speech within, the noise suppressedinput signals. VAD 14 comprises corresponding internal filters (notshown) to filter non-stationary noise from the noise suppressed inputsignals. This enhances the speech processing. VAD 14 estimates thepresence of human speech in the audio received at the microphones 5 a-5e.

FIG. 3 shows a schematic block diagram of an embodiment of DSP 10. It isnoted that FIG. 3 shows microphone signals M1-Mn as inputs to thedirectivity module 13. The directivity pre-processor module 13 has avoice signal output 30 and a noise signal output 31. Both outputs 30, 31are connected with the BSS processor module 15, which corresponds to aknown setup of a blind source separation processor. Accordingly, thesingle components are only briefly discussed in the following.

The BSS processor module 15 comprises cross-coupled adaptive filters 32a, 32 b, configured to operate in a recursive loop, as shown. Theadaptive filters 32 a, 32 b thus improve operation over time in astatistical process by comparing the filtered signal with the originallyprovided (and properly delayed) signal.

Each signal path, i.e., the “mostly voice” and the “mostly noise” path,comprise an additional recursive, adaptive pre-filter 33 a, 33 b. Thepre-filters 33 a, 33 b serve to restore the (voice/noise) fidelity ofthe respective voice and noise signal. This is done on the “voiceprocessing side” by comparing the voice signal at output 30 of thedirectivity pre-processor 13 with the microphone signal, directlyprovided by microphone 5 a, as shown. Since the microphone signal is notpre-processed, it is considered to have maintained true fidelity.Similarly and on the “noise processing side”, the noise signal of output31 is compared with the microphone signal 5 a to restore true fidelity.

The term “fidelity” is understood with its typical meaning in the fieldof audio processing, denoting how accurately a copy reproduces itssource. It is noted that microphone 5 a may be of omnidirectional ordirectional type, depending on the application. Alternatively to thepre-filters 33 a, 33 b, true fidelity may be restored by usingcorresponding (fixed) equalizers.

FIG. 5 shows a schematic exemplary block diagram of the processing bythe directivity pre-processor 13. It is noted that in FIG. 5, the singlecomponents and lines are primarily provided for illustration purposes.In typical implementations, the functionality of one or more of thecomponents may be provided by software, hardware, or combinationsthereof.

The operation of the directivity pre-processor module 13 is based on theidea that with a head-worn audio device, such as headset 1, the pointwhere the desired speech emanates during use relative to the microphones5 a-5 e is at least roughly known a priori, i.e., by the design of theheadset 1. Accordingly, for each of the microphones 5 a-5 e, thecorresponding relative location and directionality pattern is predefinedin microphone definition database 50. FIG. 6, by way of example, showsthe positions of each of the microphones 5 a-5 e relative to the head ofa user. For reasons of clarity, the other components of the headset 1have been omitted in FIG. 6.

Microphone 5 a is also referred to as the primary microphone. It isclosest to the user's mouth during use. i.e., when wearing the headset1. Microphone 5 b is positioned on the right, top position (RT) andmicrophone 5 c is positioned on the right, bottom position (RB).Microphone 5 d is positioned on the left, front position (LF) andmicrophone 5 e is positioned on the left, rear position (LR).

Reverting back to FIG. 5 and as will be apparent from the FIG., thenumber of N microphone signals M₁-M_(N) are provided to spatialdirectivity unit 51 and to VAD 14. Relative location and directionalityinformation of the microphones 5 a-5 e is provided by the database 50.The spatial directivity unit 51 uses the microphone signals M₁-M_(N) andthe information of database 50 to generate a number K of voice candidatesignals and a number M of noise candidate signals. The number of voicecandidate signals is independent from the number of noise candidatesignals. Each of the candidate signals correspond to a defined“sub-space directivity”. It is noted that the entire processing of thedirectivity pre-processor 13 and the BSS processor 15 is performed inthe st-DFT (frequency) domain.

As will be apparent to one skilled in the art, having two microphones atknown positions, it is for example possible to generate four candidatesignals, each having a unique directivity or “beam form”. FIG. 7 showsthis in an exemplary embodiment with two microphones 70, 71, arranged onmicrophone axis 72. Different beam forms are indicated with referencenumerals 73-76. While reference numerals 73 and 74 show singlemicrophone beam form patterns, reference numeral 75 indicates abi-directional beam form having a slightly narrower sub-spacedirectivity in a direction, perpendicular to the microphone axis 72.Beam form pattern 76 shows a so-called “NULL” pattern, i.e., a toroidbeam form.

The spatial directivity unit 51 provides the correspondingly formedvoice and noise candidate signals to respective equalizer/normalizerunits 52, 53. It is noted that while within the group of 1-K voicecandidate signals, each voice candidate signals is based on a uniquebeam form and within the group of 1-M noise candidate signals, eachnoise candidate signal is based on a unique beam form, there may beoverlap between the groups, since the source direction of the noise isunknown. For example, one formed candidate may be a voice candidate andalso a noise candidate.

One of the voice candidate signals, i.e., voice candidate 1 is formedwith a sub-space beam form that covers the position of the mouth of theuser. This is possible due to the provision of the microphone details indatabase 50.

Equalizer/normalizer unit 52 equalizes and normalizes each voicecandidate so that the voice component of the respective candidate signalhas the same level and frequency response. The correspondingly processedcandidate signals are provided to voice candidate selector circuit 54.The voice candidate selector 54 selects the voice candidate signalhaving the lowest energy. This candidate is provided as voice signal tothe BSS processor module 15 via output 30. Voice candidate selector 54is only active when the VAD 14 determines the presence of voice in thecaptured microphone signals.

For the selection, the voice candidate selector 54 determines the energyof for each of the voice candidate signals. The determination uses atypical voice band of 12 kHz and determines the energy for 32 equalsub-bands of 375 Hz. A weighing may be applied based on a voicefrequency distribution profile. Accordingly, an emphasis may be put onthose sub-bands, which are within typical human speech. The selectedvoice candidate is then provided as voice signal to the BSS processormodule 15 via the voice signal output 30. In addition, the voice signalis provided to filter 55, as will be discussed in detail in thefollowing.

Corresponding to the equalizer/normalizer unit 52 for the voicecandidates, equalizer/normalizer 53 provides equalization andnormalization for each of the noise candidate signals so that eachrespective candidate signal has the same level and frequency response.Equalizer/normalizer 53 adapts the level and frequency with respect todiffused speech-like noise, e.g., Hoth noise.

Each noise candidate signal is the processed by filter 55, which removesvoice components from the noise candidate signals. Filter 55 isconfigured so as not to delay the signal.

Noise candidate selector 56 selects the noise candidate signal, whichhas the highest energy. Information on the presence or lack of voice, asdetermined by VAD 14, improves the selection. The selected noisecandidate signal is provided as noise signal to the BSS processor module15.

For the selection, the noise candidate selector 56 determines the energyof for each of the noise candidate signals. The determination uses atypical voice band of 12 kHz and determines the energy for 32 equalsub-bands of 375 Hz. A weighing may be applied based on a typical noisefrequency distribution profile. The selected noise candidate is thenprovided to the BSS processor module 15 via the noise signal output 31.

FIG. 4 shows a further embodiment of a head-worn audio device, namely acap 40. The embodiment of FIG. 4, and in particular its operation,corresponds to the embodiment, discussed in the preceding, with theexception that cap 40 does not comprise speakers 6 a, 6 b and thus doesnot provide output audio to the user. Cap 40, corresponding to thepreceding discussion, comprises microphones 5 a-5 e arranged at fixedpositions relative to the cap 40 and to user's mouth when wearing thecap as intended. An electronics housing 41 is provided to accommodatethe aforementioned electronics and in particular Bluetooth interface 7,microcontroller 8, DSP 10, user interface 11, and battery 12.

While the invention has been illustrated and described in detail in thedrawings and foregoing description, such illustration and descriptionare to be considered illustrative or exemplary and not restrictive; theinvention is not limited to the disclosed embodiments. For example, itis possible to operate the invention in any of the precedingembodiments, wherein p1 instead of the head-worn audio device beingprovided as a headset, the head-worn audio device being formed as smartglasses, a cap, a hat, a helmet, or any other type of head-worn deviceor clothing;

-   -   instead of Bluetooth interface 7, an interface is used that is        adapted for communication via USB, DECT, Wi-Fi, LAN, QD, or a        different type of analog or digital, wired or wireless        connection,    -   the output driver 9 comprises noise cancellation circuitry for        the output audio; and/or    -   instead of the five microphones shown in FIGS. 1 and 2, a higher        or lower number of microphones is used.

Other variations to the disclosed embodiments can be understood andeffected by those skilled in the art in practicing the claimedinvention, from a study of the drawings, the disclosure, and theappended claims. In the claims, the word “comprising” does not excludeother elements or steps, and the indefinite article “a” or “an” does notexclude a plurality. A single processor, module or other unit mayfulfill the functions of several items recited in the claims.

The mere fact that certain measures are recited in mutually differentdependent claims does not indicate that a combination of these measuredcannot be used to advantage. A computer program may bestored/distributed on a suitable medium, such as an optical storagemedium or a solid-state medium supplied together with or as part ofother hardware, but may also be distributed in other forms, such as viathe Internet or other wired or wireless telecommunication systems. Anyreference signs in the claims should not be construed as limiting thescope.

What is claimed is:
 1. An audio device having a circuit for voice signalenhancement, the circuit comprising at least a plurality of microphones,arranged at predefined positions, where each microphone provides amicrophone signal; a directivity pre-processor, connected with theplurality of microphones to receive the microphone signals andconfigured to provide at least a voice signal and a noise signal; a BSSprocessor, connected with the directivity pre-processor to receive atleast the voice signal and the noise signal, and being configured toconduct blind source separation on at least the voice signal and thenoise signal to provide at least an enhanced voice signal with reducednoise components; wherein the audio device comprises microphoneinformation of at least one of the plurality of microphones; and whereinthe directivity pre-processor is configured to provide the voice signaland the noise signal from the microphone signals using the microphoneinformation.
 2. The audio device of claim 1, wherein the directivitypre-processor is configured to generate a plurality of voice candidatesignals and a plurality of noise candidate signals from the microphonesignals.
 3. The audio device of claim 2, wherein the directivitypre-processor comprises a microphone definition database having one ormore of a location and a directionality pattern of at least one of theplurality of microphones; the directivity pre-processor furthercomprises and a spatial directivity module to generate the plurality ofvoice candidate signals and the plurality of noise candidate signals. 4.The audio device of claim 2, wherein the directivity pre-processor isfurther configured to equalize/normalize at least one of the voicecandidate signals and the noise candidate signals.
 5. The audio deviceof claim 2, wherein the directivity pre-processor further comprises avoice candidate selection circuit, wherein the voice candidate selectioncircuit is configured to select one of the voice candidate signals asthe voice signal and to provide the voice signal to the BSS processor.6. The audio device of claim 5, wherein the voice candidate selectioncircuit is configured to determine an energy of each of the voicecandidate signals and to select the voice candidate signal having thelowest energy as the voice signal.
 7. The audio device of claim 6,wherein the voice candidate selection circuit is configured to determinethe energy of each of the voice candidate signals in a plurality ofsub-bands.
 8. The audio device of claim 2, wherein the directivitypre-processor further comprises a voice filter, configured to filtervoice components from each of the noise candidate signals.
 9. The audiodevice of claim 8, wherein the voice filter is configured to receive atleast one of the voice candidate signals and to filter the voicecomponents using the received at least one voice candidate signal. 10.The audio device of claim 2, wherein the directivity pre-processorfurther comprises a noise candidate selection circuit, wherein the noisecandidate selection circuit is configured to select one of the noisecandidate signals as the noise signal and to provide the noise signal tothe BSS processor.
 11. The audio device of claim 10, wherein the noisecandidate selection circuit is configured to determine an energy of eachof the noise candidate signals and to select the noise candidate signalhaving the highest energy as the noise signal.
 12. The audio device ofclaim 11, wherein the noise candidate selection circuit is configured todetermine the energy of each of the noise candidate signals in aplurality of sub-bands.
 13. The audio device of claim 1, wherein the BSSprocessor is configured to additionally provide an enhanced noise signalwith reduced voice components.
 14. The audio device of claim 1, whereinthe audio device is formed as one of glasses, a cap, a hat, and ahelmet.
 15. The audio device of claim 1, wherein the audio device is aheadset or a head-worn audio device.
 16. The audio device of claim 1,comprising at least three microphones.
 17. The audio device of claim 1,further comprising an audio output to transmit at least the enhancedvoice signal to further device.
 18. A circuit for voice signalenhancement, the circuit being connectable to a plurality ofmicrophones, where each microphone provides a microphone signal, thecircuit comprising at least a directivity pre-processor, connected withthe plurality of microphones to receive the microphone signals andconfigured to provide at least a voice signal and a noise signal; and aBSS processor, connected with the directivity pre-processor to receiveat least the voice signal and the noise signal, and being configured toconduct blind source separation on at least the voice signal and thenoise signal to provide at least an enhanced voice signal with reducednoise components; wherein the circuit comprises microphone informationof at least one of the plurality of microphones; and wherein thedirectivity pre-processor is configured to provide the voice signal andthe noise signal from the microphone signals using the microphoneinformation.
 19. A method of voice signal enhancement based on aplurality of microphone signals of a plurality of microphones, themethod comprising directivity pre-processing of the plurality ofmicrophone signals to obtain at least a voice signal and a noise signalusing microphone information of at least one of the plurality ofmicrophones; and conducting blind source separation on at least thevoice signal and the noise signal to obtain at least an enhanced voicesignal with reduced noise components.
 20. A non-transitorycomputer-readable medium including contents that are configured to causea processing device to conduct the method of claim
 19. 21. A head-wornaudio device having a circuit for voice signal enhancement, the circuitcomprising at least a plurality of microphones, arranged at predefinedpositions, where each microphone provides a microphone signal; adirectivity pre-processor, connected with the plurality of microphonesto receive the microphone signals and configured to provide at least avoice signal and a noise signal; a BSS processor, connected with thedirectivity pre-processor to receive at least the voice signal and thenoise signal, and being configured to conduct blind source separation onat least the voice signal and the noise signal to provide at least anenhanced voice signal with reduced noise components.